Steganalysis of compressed speech to detect covert voice over Internet protocol channels

Huang, Y., Tang, S., Bao, C. and Yip, YJ 2011, 'Steganalysis of compressed speech to detect covert voice over Internet protocol channels' , IET Information Security, 5 (1) , pp. 26-32.

PDF - Accepted Version
Download (245kB) | Preview


A network covert channel is a passage along which information leaks across the network in violation of security policy in a completely undetectable manner. This study reveals our findings in analysing the principle of G.723.1 codec that there are ?unused' bits in G.723.1 encoded audio frames, which can be used to embed secret messages. A novel steganalysis method that employs the second detection and regression analysis is suggested in this study. The proposed method can not only detect the hidden message embedded in a compressed voice over Internet protocol (VoIP) speech, but also accurately estimate the embedded message length. The method is based on the second statistics, that is, doing a second steganography (embedding information in a sampled speech at an embedding rate followed by embedding another information at a different level of data embedding) in order to estimate the hidden message length. Experimental results have proven the effectiveness of the steganalysis method for detecting the covert channel in the compressed VoIP speech.

Item Type: Article
Additional Information: This paper is a postprint of a paper submitted to and accepted for publication in IET Information Security and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library
Themes: Media, Digital Technology and the Creative Economy
Schools: Schools > No Research Centre
Journal or Publication Title: IET Information Security
Publisher: Institution of Engineering and Technology
Refereed: Yes
ISSN: 1751-8709
Depositing User: Users 29196 not found.
Date Deposited: 14 Aug 2012 13:07
Last Modified: 16 Feb 2022 14:31

Actions (login required)

Edit record (repository staff only) Edit record (repository staff only)


Downloads per month over past year